Evidence map›Paper›PMID 29789877›Full record

SynthesisDer Anaesthesist2018

[Meta-analyses on measurement precision of non-invasive hemodynamic monitoring technologies in adults].

G Pestel, K Fukui, M Higashi, I Schmidtmann, C Werner

Abstract readMeta-AnalysisReview
PubMed Publisher
In one paragraph

Synthesis in Der Anaesthesist, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 42% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

G PestelKlinik für Anästhesiologie, Universitätsmedizin Mainz, Langenbeckstr. 1, 55131, Mainz, Deutschland. pestel@uni-mainz.de.
K FukuiKlinik für Anästhesiologie, Universitätsmedizin Mainz, Langenbeckstr. 1, 55131, Mainz, Deutschland.
M HigashiKlinik für Anästhesiologie, Universitätsmedizin Mainz, Langenbeckstr. 1, 55131, Mainz, Deutschland.
I SchmidtmannInstitut für Medizinische Biometrie, Epidemiologie und Informatik (IMBEI), Universitätsmedizin Mainz, Mainz, Deutschland.
C WernerKlinik für Anästhesiologie, Universitätsmedizin Mainz, Langenbeckstr. 1, 55131, Mainz, Deutschland.
Johannes Gutenberg University Mainz · DEKlinik und Poliklinik für Psychosomatische Medizin und Psychotherapie · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An ideal non-invasive monitoring system should provide accurate and reproducible measurements of clinically relevant variables that enables clinicians to guide therapy accordingly. The monitor should be rapid, easy to use, readily available at the bedside, operator-independent, cost-effective and should have a minimal risk and side effect profile for patients. An example is the introduction of pulse oximetry, which has become established for non-invasive monitoring of oxygenation worldwide. A corresponding non-invasive monitoring of hemodynamics and perfusion could optimize the anesthesiological treatment to the needs in individual cases. In recent years several non-invasive technologies to monitor hemodynamics in the perioperative setting have been introduced: suprasternal Doppler ultrasound, modified windkessel function, pulse wave transit time, radial artery tonometry, thoracic bioimpedance, endotracheal bioimpedance, bioreactance, and partial CO

Indexed as

AdultHemodynamic MonitoringHumansReproducibility of ResultsBland-Altman analysisHemodynamicsMeta-analysisMonitoring, physiologicNon-invasive

Identifiers

PMID29789877
OpenAlexW2804747926

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.